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Participation in Universal Prevention Programs

Author

Listed:
  • Robert Rosenman
  • Scott Goates
  • Laura Hill

    (School of Economic Sciences, Washington State University)

Abstract

We analyze the decision to participate in community-based universal prevention programs through the framework of prospect theory, with family functionality, and related risk status, providing the reference point. We find that participation probability depends on the relative ratios of the weighting and valuation functions. Using data from the Strengthening Families Program and the Washington Healthy Youth Survey, we empirically test the implications of our model. We find that family functionality affects the participation decision in complex and, in some cases, non-linear ways. We discuss the implication of these findings for cost-effectiveness analysis, and suggest directions for further research.

Suggested Citation

  • Robert Rosenman & Scott Goates & Laura Hill, 2009. "Participation in Universal Prevention Programs," Working Papers 2009-09, School of Economic Sciences, Washington State University.
    • Handle: RePEc:wsu:wpaper:rosenman-6
    as

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    File URL: http://faculty.ses.wsu.edu/WorkingPapers/Rosenman/WP2009-09_UniversalPreventionProg.pdf
    File Function: First version, 2009
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    References listed on IDEAS

    as
    1. Imbens, Guido W, 1992. "An Efficient Method of Moments Estimator for Discrete Choice Models with Choice-Based Sampling," Econometrica, Econometric Society, vol. 60(5), pages 1187-1214, September.
    2. Cosslett, Stephen R, 1981. "Maximum Likelihood Estimator for Choice-Based Samples," Econometrica, Econometric Society, vol. 49(5), pages 1289-1316, September.
    3. Ana Isabel Gil & Jose Alberto Molina, 2007. "Human development and alcohol abuse in adolescence," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1315-1323.
    4. Robert J. Brent, 1998. "Estimating the effectiveness and benefits of alcohol treatment programmes for use in economic evaluations," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 217-226, February.
    5. Hill, L.G. & Goates, S.G. & Rosenman, R., 2010. "Detecting selection effects in community implementations of family-based substance abuse prevention programs," American Journal of Public Health, American Public Health Association, vol. 100(4), pages 623-630.
    6. Ambrose Leung, 2004. "Delinquency, schooling, and work: time allocation decision of youth," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 987-993.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Erard Brian, 2022. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A New and More Versatile Approach," Journal of Econometric Methods, De Gruyter, vol. 11(1), pages 35-53, January.
    2. Erard, Brian, 2017. "Modeling Qualitative Outcomes by Supplementing Participant Data with General Population Data: A Calibrated Qualitative Response Estimation Approach," MPRA Paper 79927, University Library of Munich, Germany.
    3. Nkegbe, Paul Kwame & Abdul Mumin, Yazeed, 2022. "Impact of community development initiatives and access to community markets on household food security and nutrition in Ghana," Food Policy, Elsevier, vol. 113(C).

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    More about this item

    Keywords

    Prospect Theory; Treatment Outcomes; Risk Status;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    NEP fields

    This paper has been announced in the following NEP Reports:

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